{"id":"W4400033229","doi":"10.1007/s00285-024-02111-x","title":"Vaccination for communicable endemic diseases: optimal allocation of initial and booster vaccine doses","year":2024,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute on Drug Abuse","keywords":"Booster (rocketry); Booster dose; Vaccination; Population; Mathematical optimization; Epidemic model; Computer science; Mathematics; Medicine; Virology; Environmental health; Immunology; Engineering; Immunization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005998485,0.001256774,0.003597769,0.001011108,0.0003416124,0.001998708,0.001935741,0.002491509,0.007146469],"category_scores_gemma":[0.02971504,0.001280112,0.0009162116,0.0005549388,0.00115221,0.003025536,0.001200443,0.002511389,0.000838656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235852,"about_ca_system_score_gemma":0.004074831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00323262,"about_ca_topic_score_gemma":0.001389656,"domain_scores_codex":[0.9973079,0.001665178,0.000075138,0.000371569,0.0001322742,0.0004479199],"domain_scores_gemma":[0.9918311,0.00660716,0.0006196639,0.0002964055,0.0002437747,0.0004017915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01254463,0.001786765,0.004501337,0.001269262,0.0004338448,0.0001546424,0.0002825013,0.6546226,0.007329739,0.09097592,0.01141903,0.2146797],"study_design_scores_gemma":[0.003243629,0.002484589,0.006690583,0.0004407021,0.0006490331,0.0001897681,0.0002695925,0.7803755,0.003602655,0.1977151,0.004249497,0.00008927035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3595522,0.006793886,0.5838194,0.0190533,0.0007392716,0.001772271,0.001821661,0.0008479891,0.02560008],"genre_scores_gemma":[0.9187914,0.001857414,0.07145577,0.001194108,0.0003631253,0.0007850018,0.0002920113,0.0001120297,0.005149169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007146469,"threshold_uncertainty_score":0.03172338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794731716131418,"score_gpt":0.4796271459048986,"score_spread":0.3001539742917568,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}